Muutke küpsiste eelistusi

E-raamat: Advanced Computing: 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part I

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat - PDF+DRM
  • Hind: 98,18 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The two-volume set CCIS 2053 and 2054 constitutes the refereed post-conference proceedings of the 13th International Advanced Computing Conference, IACC 2023, held in Kolhapur, India, during December 15–16, 2023.

The 66 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 425 submissions. The papers are organized in the following topical sections:

Volume I:

The AI renaissance: a new era of human-machine collaboration; application of recurrent neural network in natural language processing, AI content detection and time series data analysis; unveiling the next frontier of AI advancement.

Volume II:

Agricultural resilience and disaster management for sustainable harvest; disease and abnormalities detection using ML and IOT; application of deep learning in healthcare; cancer detection using AI.
The AI Renaissance: A New Era of Human-Machine Collaboration.- Age and
Gender Estimation through Dental X-Ray Analysis.- Driver Drowsiness Detection
System Using Machine Learning Techniques.- Facial Expression Recognition:
Detection and Tracking.- Analysis and Implementation of Driver Drowsiness,
Distraction, and Detection System.- Object Detection and Depth Estimation
using Deep Learning.- Optimizing Biomass Forecasting & Supply Chain: An
Integrated Modelling Approach.- Prediction of Deposition Parameters in
Manufacturing of Ni-based Coating using ANN.- Decision Model for Cost Control
of Transmission and Transformation Projects Considering Uncertainty: a GAN
Algorithm.- Optimization Model of Construction Period in Special Construction
Scenarios of Power Transmission and Transformation Project Based on Back
Propagation Neural Network.- Vision-Based Human Activity Recognition Using
CNN & LSTM Architecture.- ML Based Rupture Strength Assessment in
Cementitious Materials.- Investigation of Power Consumption of Refrigeration
Model and its Exploratory Data Analysis (EDA) by using Machine Learning (ML)
Algorithm.- Prediction of Emission Characteristics of Spark Ignition Engines
with Premium Level Gasoline-Ethanol-Alkane Blends using Machine
Learning.- Depression Detection Using Distribution of Microstructures from
Actigraph Information.- ELECTRA: A Comprehensive Ecosystem for Electric
Vehicles and Intelligent Transportation using YOLO.- Application of Recurrent
Neural Network in Natural Language Processing, AI Content Detection and Time
Series Data Analysis.- Story Generation using GAN, RNN & LSTM.- Analysis of
Effectiveness of Indian Political Campaigns on Twitter.- Voice Enabled Form
Filling Using Hidden Markov Models.- Bayesian Network Model based Classifiers
are used in an Intelligent E-learning System.- Where You Think Stock Takes
with the Linear Regression Model.- Analysis of Parent with Fine Tuned Large
Language Model.- AI Content Detection.- Developing an Efficient Toxic Comment
Detector using Machine Learning Techniques.- Handwritten English Alphabets
Recognition System.- Stock Price Prediction using Time
Series.- Multi-Featured Speech Emotion Recognition Using Extended
Convolutional Neural Network.- Large Language Models for Search Engine
Optimization in E-commerce.- Handwritten Equation Solver: A Game-Changer in
Mathematical Problem Solving.- Unveiling the Next Frontier of AI
Advancement.- Advancing Image Classification through Self-Teachable Machine
Models and Transfer Learning.- Analysis Effect of K Values Used in K-Fold
Cross Validation for Enhancing Performance of Machine Learning Model with
Decision Tree.- The Forward-Forward Algorithm: Analysis and
Discussion.- Texture Feature Extraction Using Local Optimal Oriented Pattern
(LOOP).- Feature Fusion and Early Prediction of Mental health using Hybrid
Squeeze-MobileNet.- Exploring the Usability of Quantum Machine Learning for
EEG Signal Classification.- Adaptive Coronavirus Mask Protection Algorithm
Enabled Deep Learning for Brain Tumor Detection and
Classification.- Enhancing Hex Strategy: AI Based Two-Distance Pruning
Approach with Pattern-Enhanced Alpha-Beta Search.- IRBM: Incremental
Restricted Boltzmann Machines for Concept Drift Detection and Adaption in
Evolving Data Streams.- Revisiting Class Imbalance: A Generalized Notion for
Oversampling.- Unveiling Efficiency: Loan Application Process Optimization
Using PM4Py Tool.